Electronic medical records in multiple sclerosis research

Electronic medical records in multiple sclerosis research
Damotte, Vincent; Gourraud, Pierre‐Antoine
2018-01-01 00:00:00
With the massive digitalization of many processes involved in human activities, electronic medical records (EMR) are being increasingly deployed in medical centers. EMR have the potential to become a main major real‐life data source for future medical research and evaluation of practice. Multiple sclerosis is a paradigmatic example of a complex disease that can benefit from this new source of information. Today, researchers and clinicians alike have access to tools allowing an en masse identification of multiple sclerosis patients, and extraction of demographics and clinical variables with high accuracy. However no matter how “big” the (EMR) data might be, biases are inherent to EMR data generation. These have to be studied and eventually accounted for in analysis in order to fulfill the promise of personalized medicine for all, and carrying out large clinical and research studies in multiple sclerosis.
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Abstract

With the massive digitalization of many processes involved in human activities, electronic medical records (EMR) are being increasingly deployed in medical centers. EMR have the potential to become a main major real‐life data source for future medical research and evaluation of practice. Multiple sclerosis is a paradigmatic example of a complex disease that can benefit from this new source of information. Today, researchers and clinicians alike have access to tools allowing an en masse identification of multiple sclerosis patients, and extraction of demographics and clinical variables with high accuracy. However no matter how “big” the (EMR) data might be, biases are inherent to EMR data generation. These have to be studied and eventually accounted for in analysis in order to fulfill the promise of personalized medicine for all, and carrying out large clinical and research studies in multiple sclerosis.